Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
DS64BR401EVK/NOPB

DS64BR401EVK/NOPB

Texas Instruments

DEMO KIT MINISAS4X CBL EXTENDER

2

DS100MB203EVK/NOPB

DS100MB203EVK/NOPB

Texas Instruments

EVAL KIT FOR DS100MB203

3

DLPLCR6500EVM

DLPLCR6500EVM

Texas Instruments

EVAL BOARD FOR DLPLCR6500

0

TPD4E110DPWEVM

TPD4E110DPWEVM

Texas Instruments

EVAL MODULE FOR TPD4E110DPW

3

TS3USB3031EVM

TS3USB3031EVM

Texas Instruments

EVAL MODULE FOR TS3USB3031

0

DRV10964EVM

DRV10964EVM

Texas Instruments

EVALUATION MODULE

3

SP1202S02RB-PCB/NOPB

SP1202S02RB-PCB/NOPB

Texas Instruments

WEBENCH BARE BD TCPL BASIC

13

BQ24150AEVM

BQ24150AEVM

Texas Instruments

EVAL MODULE FOR BQ24150A

2

CDCLVP1204EVM

CDCLVP1204EVM

Texas Instruments

EVAL MODULE FOR CDCLVP1204

1

DS90UB953A-Q1EVM

DS90UB953A-Q1EVM

Texas Instruments

POWER MANAGEMENT

0

TPS2115AEVM-581

TPS2115AEVM-581

Texas Instruments

EVAL MODULE FOR TPS2115ADRB

1

BQ27320EVM-766

BQ27320EVM-766

Texas Instruments

SYSTEM-SIDE FUEL GAUGE WITH INTE

3

LMH1251EVAL/NOPB

LMH1251EVAL/NOPB

Texas Instruments

BOARD EVALUATION LMH1251

0

SN65HVS885EVM

SN65HVS885EVM

Texas Instruments

BOARD EVAL FOR SN65HVS885

4

TPS2051BEVM

TPS2051BEVM

Texas Instruments

EVAL MODULE FOR TPS2051B

3

TPS37AQ1EVM

TPS37AQ1EVM

Texas Instruments

TPS37A-Q1 AUTOMOTIVE WIDE-VIN WI

6

LMK04000BEVAL/NOPB

LMK04000BEVAL/NOPB

Texas Instruments

BOARD EVAL PRECISION CLOCK PLL

1

DS90UB964-Q1EVMTDA

DS90UB964-Q1EVMTDA

Texas Instruments

EVALUATION MODULE

4

BQ24192EVM-021

BQ24192EVM-021

Texas Instruments

EVALUATION MODULE FOR BQ2419

2

TLK2501EVM

TLK2501EVM

Texas Instruments

EVALUATON MOD FOR TLK2501

2

Evaluation and Demonstration Boards and Kits

Evaluation and Demonstration Boards and Kits are hardware platforms designed to facilitate the development, testing, and demonstration of electronic systems. They serve as critical tools for engineers and developers to prototype applications, validate designs, and accelerate time-to-market. These boards integrate processors, sensors, communication interfaces, and software ecosystems, enabling rapid experimentation across diverse industries such as IoT, automotive, and industrial automation.

TypeFunctional FeaturesApplication Examples
Microcontroller Development BoardsEmbedded CPUs, GPIOs, integrated peripheralsIoT devices, robotics
FPGA Evaluation BoardsReconfigurable logic, high-speed interfacesCommunication systems, AI accelerators
Sensor Expansion KitsMulti-sensor integration (temperature, motion, etc.)Smart agriculture, environmental monitoring
Wireless Communication ModulesBluetooth/Wi-Fi/LoRa protocols, antenna interfacesConnected healthcare, smart cities

Typical architecture includes: - Processing Units: Microcontrollers, FPGAs, or SoCs - Memory: RAM, Flash, EEPROM - Interfaces: USB, UART, SPI, I2C, Ethernet - Power Management: Regulators, battery connectors - Software Stack: SDKs, device drivers, IDEs Physical designs often feature standardized form factors (e.g., Arduino Uno, Raspberry Pi HATs) for modular expansion.

ParameterDescription
Processor Performance (MHz/GHz)Determines computational capability
Memory Capacity (RAM/Flash)Affects program complexity and data storage
Interface TypesDictates peripheral compatibility
Power Consumption (mW/MHz)Critical for battery-operated devices
Operating Temperature (-40 C to +85 C)Defines environmental durability

- Internet of Things (IoT): Smart home controllers, edge AI nodes - Automotive: ADAS sensor fusion platforms - Industrial Automation: PLC controllers, predictive maintenance systems - Consumer Electronics: Wearables, AR/VR prototypes

ManufacturerRepresentative Products
STMicroelectronicsSTM32 Nucleo Series, SensorTile Kit
IntelIntel Edison, Movidius Neural Compute Stick
XilinxZynq UltraScale+ MPSoC Evaluation Kit
ArduinoArduino MKR Series, Nano 33 IoT

Key considerations: 1. Match processor capabilities to application complexity 2. Verify interface compatibility with target peripherals 3. Assess software ecosystem maturity (e.g., ROS support) 4. Evaluate power budget requirements 5. Consider long-term availability and community support

- Growing adoption of RISC-V-based evaluation platforms - Integration of AI/ML accelerators in edge computing boards - Expansion of open-source hardware ecosystems - Increased focus on energy-efficient architectures for IoT - Standardization of form factors (e.g., SparkFun's Qwiic system)

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